KI / Machine Learning Engineer (m/w/d)
Core
Design, develop, and operate AI and machine learning solutions for predictive analytics, forecasting, and data-driven decision support.
Role type
Machine Learning Engineer
Builds
End-to-End ML pipelines, predictive/forecasting models, modern Datalakes, and Data Platforms
Domain
Cloud-based AI and Machine Learning
Deliverable
production ML models
Required skills
Python, Predictive Analytics, Large Data Volume Handling, Cloud Platforms (AWS/Azure/GCP), MLOps, Generative AI, LLMs
Preferred skills
Docker, Kubernetes, Spark, Kafka
Technologies
Scikit-Learn, TensorFlow, PyTorch, AWS, Azure, GCP, Docker, Kubernetes, Spark, Kafka
Responsibilities
Design and develop AI/ML solutions for various use cases; Build and maintain Datalakes and Data Platforms; Develop and operate End-to-End ML pipelines; Integrate ML models into Cloud applications and Microservice architectures; Collaborate with Cloud, Data, and Software Engineering teams; Actively participate in innovation projects, PoCs, and MVPs.
